Image Processing Apparatus for Surveillance Target Search
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing number of surveillance cameras in facilities like kindergartens and nurseries leads to a significant increase in image processing load on computers, as they need to search through multiple images to find specific target individuals, resulting in inefficiencies and increased computational burdens.
Innovation Solution
An image processing apparatus that acquires camera images from multiple cameras within a facility and uses weather information, schedule information, and behavior tendencies of surveillance targets to determine which camera images to search, thereby narrowing down the search scope and reducing the computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of surveillance cameras is increased to thoroughly photograph within a facility, then the coverage and detection capability are improved, but the processing load on the computer increases significantly
Solution Approach 1:
The patent segments the image processing task by dividing it into two stages: first, a lightweight filtering stage that selects candidate images based on simple criteria (weather information, schedule information, behavior tendencies); second, a detailed search stage that performs comprehensive surveillance target person detection only on the selected candidate images. This segmentation reduces the number of images requiring full processing while maintaining detection reliability.
Solution Approach 2:
The patent performs preliminary actions by pre-selecting candidate camera images before the actual surveillance target person search. This is achieved by determining which camera images are most likely to contain surveillance target persons based on weather conditions, scheduled activities, and historical behavior patterns. This preliminary filtering action reduces the computational burden of the subsequent detailed search.
2Reliability
If all camera images are searched for surveillance target persons, then the search completeness is improved, but the time and computational resources required increase
Solution Approach 1:
The patent applies partial action by searching only a subset of camera images (candidate images) rather than all images. The selection of candidate images is based on probabilistic criteria that ensure the most relevant images are processed. This approach achieves sufficient search completeness for practical purposes while significantly reducing processing time compared to exhaustive search of all images.
Data Source
AI summary
The present invention provides an image processing apparatus 10 including an acquisition unit 11 that acquires a plurality of camera images photographed by a plurality of cameras installed within a facility, a camera image determination unit 12 that determines, based on at least one of weather information on a day, schedule information of each surveillance target person on the day, and a behavior tendency of each surveillance target person within a facility, a camera image for which each of surveillance target persons is searched from among a plurality of camera images, and a search unit 13 that searches for each of surveillance target persons from among each of the camera images being determined as a target for which each of surveillance target persons is searched.